Research Scientist Junior/Junior+

We are looking for a Junior Research Scientist to work on foundation models for financial data. Several of them already run in production on bureau, transactional and graph data; your work is to extend that line to new data domains and new downstream tasks — credit risk, acquisition, anti-fraud, LTV forecasting.

We work with Python, PyTorch, MLFlow, AWS, Snowflake and modern AI coding tools such as Claude Code, OpenAI Codex and Cursor.

This is a great opportunity for someone at the beginning of their career and who wants to work on large-scale, technically challenging projects.

Challenges that await you:

• Train self-supervised models on discrete sequences to beat the SOTA and achieve business impact in downstream tasks across Plata, such as: credit risk, transaction anti-fraud, acquisition and LTV forecasting

• Stay on top of SOTA research, applying the latest NLP and DL techniques to fintech models

• Work with large multimodal datasets: tabular, behavioral, transactional, device and network, text, time series, graphs

• Optimize the utilization of compute resources for both training and inference

• Own and develop solutions end-to-end, from idea to data collection to experiments to training runs to inference optimization to evaluating impact

• Perform rigorous evaluations

• Write articles and speak at industry conferences

What makes you a great fit:

• Education: mathematics, engineering, computer science, artificial intelligence or another strong quantitative field

• Strong foundation in machine learning and deep learning, with hands-on experience building and experimenting with models using PyTorch and LLMs

• Understanding of dataset design and data mixing for deep learning training

• Demonstrated understanding of how to maximize the utilization of compute resources and efficiently perform experiments to validate research ideas

• Solid communication skills

• High autonomy and ownership

Your bonus skills:

• Published research in machine learning or deep learning

• Personal projects or startup experience in AI, machine learning or deep learning

• Internship experience in research, ML or DL teams

• B1 or higher English level for effective communication with an international team

Our ways of working:

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Innovative Spirit: A commitment to creativity and groundbreaking solutions

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Honest Feedback: valuing open, transparent communication

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Supportive Team: a strong, collaborative community

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Celebrating Achievements: recognizing our wins together

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High-Tech Environment: a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances

Our benefits:

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Relocation support to one of our hubs — Serbia, Georgia or Mexico — with assistance for the employee and their family

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Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5

• Healthcare Coverage

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Education Budget: Language lessons, professional training and certifications

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Wellness Budget: Mental health and fitness activity reimbursements

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Vacation policy: 20 days of annual leave and paid sick leave

Originally posted on Himalayas